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Super fast bot creation with Copilot Studio and the Azure OpenAI Assistants API
In a previous post, I discussed the Microsoft Bot Framework SDK that provides a fast track to deploying intelligent bots with the help of the Assistants API. Yet, the journey doesn’t stop there. Copilot Studio, a low-code tool, introduces an even more efficient approach, eliminating the need for intricate bot coding. It empowers developers to…
Fast chat bot creation with the OpenAI Assistants API and the Microsoft Bot Framework SDK
This post is part of a series of blog posts about the Azure OpenAI Assistants API. Here are the previous posts: Part 1: introduction Part 2: using tools Part 3: retrieval In all of those posts, we demonstrated the abilities of the Azure OpenAI Assistants API in a Python notebook. In this post, we will…
Retrieval with the Azure OpenAI Assistants API
In two previous blog posts, I wrote an introduction to the Azure OpenAI Assistants API and how to work with custom functions. In this post, we will take a look at an assistant that can answer questions about documents. We will create an HR Assistant that has access to an HR policy document. In addition,…
Using tools with the Azure OpenAI Assistants API
Introduction In a previous blog post, I wrote an introduction about the Azure OpenAI Assistants API. As an example, I created an assistant that had access to the Code Interpreter tool. You can find the code here. In this post, we will provide the assistant with custom tools. These custom tools use the function calling…
A look at the Azure OpenAI Assistants API
Introduction A while ago, I looked at the OpenAI Assistants API. In February of 2024, Microsoft have released their Assistants API in public preview. It works in the same way as the OpenAI Assistants API while being able to use it with Azure OpenAI models, deployed to a region of your choice. The goal of…
Deploy a flow created in Prompt Flow with Docker
Update: this post used an older version of Prompt Flow at the time. It had some issues with building and running the Docker image without issues. In version 1.5.0, it should work fine because the Dockerfile now also installs gcc. In the previous post, we created a flow with Prompt Flow in Visual Studio Code.…
Writing your first flow with Prompt Flow in Visual Studio Code
In this blog post, we will create a flow with Prompt Flow in Visual Studio Code. Prompt Flow is a suite of development tools to build LLM-based AI applications. It tries to cover the end-to-end development cycle, including prototyping, testing and deployment to production. In Prompt Flow, you create flows. Flows link LLMs (large language…
Building an Azure AI Search index with a custom skill
In this post, we will take a look at building an Azure AI Search index with a custom skill. We will use the Azure AI Search Python SDK to do the following: create a search index: a search index contains content to be searched create a data source: a datasource tells an Azure AI Search…
Finding images with text and image queries with the help of GPT-4 Vision
With the gpt-4-vision-preview model available at OpenAI, it was time to build something with it. I decided to use it as part of a quick solution that can search for images with text, or by providing a similar image. We will do the following: Describe a collection of images. To generate the description, GPT-4 Vision…
Using Integrated Vectorization in Azure AI Search
The vector search capability of Azure AI Search became generally available mid November 2023. With that release, the developer is responsible for creating embeddings and storing them in a vector field in the index. However, Microsoft also released integrated vectorization in preview. Integrated vectorization is useful in two ways: You can define a vectorizer in…
